Paradigm is rebuilding the clinical research ecosystem by enabling equitable access to trials for all patients. Our platform enhances trial efficiency and reduces the barriers to participation for healthcare providers. Incubated by ARCH Venture Partners and backed by leading healthcare and life sciences investors, Paradigm’s seamless infrastructure implemented at healthcare provider organizations, will bring potentially life-saving therapies to patients faster.
Our team hails from a broad range of disciplines and is committed to the company’s mission to create equitable access to clinical trials for any patient, anywhere. Join us, and bring your expertise, passion, creativity, and drive as we work together to realize this mission.
We are looking for a Data Science Manager to join our team. In this role, you will lead a team of data scientists to build and integrate advanced machine learning models, including NLP and LLM-based models, that streamline clinical trial execution activities. You will play a crucial role in designing data-driven solutions to improve trial design, patient recruitment, and overall trial efficiency. Your work will directly contribute to speeding up the clinical trial process and bringing life-saving treatments to patients faster.
What You'll Do:
- Lead and mentor a team of data scientists in developing, productionizing, and monitoring ML models at scale.
- Oversee the design and deployment of algorithms, including GenAI/LLM-based models, to support trial execution activities.
- Collaborate closely with cross-functional teams, including clinicians, informaticists, engineers, and stakeholders, to align data science initiatives with business goals.
- Guide the team through the process of gathering requirements, defining model specifications, and generating training and validation datasets.
- Lead the integration of ML models into production infrastructure, collaborating with engineering teams to ensure seamless execution.
- Drive innovation in data science practices and establish a long-term technical vision for the team.
- Communicate the technical and business value of data science initiatives to both technical and non-technical audiences.
- Promote best practices in data science, ensuring high-quality code and model development through effective reviews and mentoring.
Who You Are:
- PhD or Master’s in data science, statistics, computer science, or a related field.
- 7+ years of experience in data science or a related field, with a focus on healthcare or adjacent industries.
- 2+ years of leadership experience, with proven ability to lead data science teams and set technical direction.
- Strong experience in machine learning, including model training, evaluation, and deployment.
- Hands-on experience with Python, and deep knowledge of machine learning algorithms and statistical methods.
- Experience managing production-level data science infrastructure, including pipelines, deployment, and monitoring.
- Excellent problem-solving and strategic thinking skills, with the ability to tackle complex business and technical challenges.
- Comfortable working in a mission-driven, fast-paced startup environment with high ambiguity.
Bonus:
- Experience with oncology and/or clinical trial data.
- Experience with GenAI/LLM-based model development and open-source frameworks for building LLM applications.
- Previous experience in an early-stage startup environment and enthusiasm for high-growth, dynamic, 0-1 projects.
Paradigm Health offers a comprehensive Total Rewards package to support your well-being and success, including:
- Competitive health, dental, and vision insurance
- Mental health support for you and your family through Spring Health
- Equity package
- Unlimited paid time off (PTO)
- 16 weeks of paid parental leave
- Flexible work options – remote and hybrid arrangements
- Company-paid life insurance
- Company-paid short-term and long-term disability coverage
- One Medical membership
- 401(k) plan with company match
At Paradigm, we are committed to providing equal employment opportunities to all qualified individuals. We encourage and welcome candidates from all backgrounds and perspectives to apply for our open positions. We are interested in all qualified individuals and ensure that all employment decisions are based on job-related factors such as skills, experience, and qualifications.
